The companies often face contradictory challenges dealing with quality of services on one hand and ways to make benefits and deal with as demand as possible on the other hand. Moreover, the Supply Chain Management (SCM) has to deal with a highly dynamic environment. By this fact, to improve the QoS, it is important for theses companies to react rapidly facing the disruptions and system failures due to this dynamic. In this paper, we proposed to integrate a Service Oriented multi-leveled MAS, which includes a tasks reallocation based on residual resources protocol, into a collaborative SCM platform. We illustrate our proposition by a case study where we develop reconfiguration concept which is the main functionality of our Collaborative Urban Supply Chain (CoUSuC) platform. © 2011 Springer-Verlag.
CITATION STYLE
Adam, E., Hette, G., Estivie, S., Melki, A., & Mandiau, R. (2011). Agents tasks reallocation for collaborative urban supply chain management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6867 LNAI, pp. 215–224). https://doi.org/10.1007/978-3-642-23181-0_21
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